Cargando…
Multiscale Modeling for Application-Oriented Optimization of Resistive Random-Access Memory
Memristor-based neuromorphic systems have been proposed as a promising alternative to von Neumann computing architectures, which are currently challenged by the ever-increasing computational power required by modern artificial intelligence (AI) algorithms. The design and optimization of memristive d...
Autores principales: | La Torraca, Paolo, Puglisi, Francesco Maria, Padovani, Andrea, Larcher, Luca |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6862055/ https://www.ncbi.nlm.nih.gov/pubmed/31652682 http://dx.doi.org/10.3390/ma12213461 |
Ejemplares similares
-
Multiscale optimization methods and applications
por: Hager, William, et al.
Publicado: (2006) -
On the Frequency Response of Nanostructured Thermoacoustic Loudspeakers
por: La Torraca, Paolo, et al.
Publicado: (2018) -
Ferroelectric random access memories: fundamentals and applications
por: Ishiwara, Hiroshi, et al.
Publicado: (2004) -
Conductance Quantization in Resistive Random Access Memory
por: Li, Yang, et al.
Publicado: (2015) -
All Nonmetal Resistive Random Access Memory
por: Yen, Te Jui, et al.
Publicado: (2019)